Education canadienne et internationale Vol. 36 no 1-juin 2007 93 Decentralization and Education in Uganda Immaculate K. Namukasa, the University of Western Ontario
Bibliographic record
Abstract
Uganda is one of the African countries that have decentralized its education system. This country-specific paper examines the implementation process and the way forward to decentralizing education in a developing country. There have been gains and challenges from decentralization and processes linked to it. While the implementation of Universal Primary Education in 1997 increased significantly school enrollment as well as the number of classrooms; on the other hand, student-teacher and student-resources ratio also increased, and corruption and mismanagement of resources remained a challenge. Résumé Uganda est un des pays d'Afrique qui ont décentralisé leur système d'enseignement. Cet article spécifique sur un seul pays examine les processus d'exécution et la façon d'avancer la décentralisation dans un pays au cours de développement. Il y a des gains et aussi des problèmes provenant de la
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".